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The basic tools of economics and statistics are applied to waterdemand forecasting and price-elasticity measurement by the East Bay Municipal Utility District, Oakland, Calif. Little expertise is required to produce good forecasting results with time-series models, which can also yield meaningful elasticity estimates if price increases are significant and the data are sufficiently disaggregated. Pooled time-series and cross-sectional models are more demanding in their structure and data requirements but often provide better estimates of the impact of price variables than simple time-series analyses. Includes 6 references, tables, figures. Product Details
Edition: Vol. 81 - No. 5 Published: 05/01/1989 Number of Pages: 9File Size: 1 file , 2.1 MB